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+38% CAGR to Be Achieved by Automotive Artificial Intelligence in International Market by 2022 – Know About Influencing Factors for Future Market Growth of Top Companies

Global Automotive Artificial Intelligence Market Studied in Detail By Top Research Analyst – Report Focuses on Growing Factors of Top Companies like NVIDIA, Alphabet, Intel, IBM , Microsoft, Harman, Qualcomm, Tesla, BMW, Audi, Ford Motor, Hyundai Motor, Uber, Honda Motor

 

Houston, TX -- (SBWIRE) -- 02/08/2018 -- The automotive AI market is expected to exhibit a significant growth between 2017 and 2025. The emergence of autonomous vehicle and industry-wide standards such as the adaptive cruise control (ACC), blind spot alert, and advanced driver assistance systems (ADAS) would trigger the growth of the automotive AI market. However, the growing demand for convenience and safety presents an opportunity for OEMs to develop new and innovative artificial intelligence systems that would attract customers.

Automotive Artificial Intelligence Market projected to grow at a CAGR of +38% during forecast period

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Automotive Artificial Intelligence market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. Business strategies of the key players and the new entering market industries are studied in detail. Well explained SWOT analysis, revenue share and contact information are shared in this report analysis.

Top Players Profiled in this Report includes, NVIDIA Corporation (US), Alphabet Inc. (US) Intel Corporation (US),IBM Corporation (US), Microsoft Corporation (US), Harman International Industries Inc. (US), Xilinx Inc. (US), Qualcomm Inc. (US), Tesla Inc. (US), BMW AG (Germany), Audi AG (Germany), General Motors Company (US), Ford Motor Company (US), Hyundai Motor Corporation (South Korea), Uber Technologies Inc. (US), Honda Motor Co. Ltd. (Japan)

The deep learning technology is expected to be the largest and the fastest-growing technology in the automotive AI market and is used in voice recognition, voice search, recommendation engines, sentiment analysis, image recognition, and motion detection. The deep learning technology is widely being used in the developments of autonomous cars. Many companies are investing in the development of self-driving cars in which the deep learning technology is used for image processing, speech recognition, and data analysis.

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Various factors are responsible behind the market's growth trail, which are studied at length in the report. In addition, the report lists down the restraints that are posing threat to the global Automotive Artificial Intelligence market. It also gauges the bargaining power of suppliers and buyers, threat to the new entrants and product substitute, and the degree of competition prevailing in the market. The influence of the latest government guidelines is also analyzed in detail in the report. It studies the market's trajectory between forecast periods.

Reason to Access Automotive Artificial Intelligence Market Research Report:
The report provides information on the technological advancements that are bound to take place in the coming years or are currently taking place in the market. Furthermore, the opportunities and threats faced by the main player's dominant in the Global Automotive Artificial Intelligence market have been highlighted. This report covers the market from the bottom line, starting from its definition. Later, it segments the market on various criteria to give a depth of understanding on the various product types and pricing structures and applications. Each and every segment is examined carefully by factoring in sales, revenue and market size in order to understand the potential of growth and scope.

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Table of Contents
Global Automotive Artificial Intelligence Market Research Report
Chapter 1 Automotive Artificial Intelligence Market Overview
Chapter 2 Global Economic Impact on Industry
Chapter 3 Global Market Competition by Manufacturers
Chapter 4 Global Production, Revenue (Value) by Region
Chapter 5 Global Supply (Production), Consumption, Export, Import by Regions
Chapter 6 Global Production, Revenue (Value), Price Trend by Type
Chapter 7 Global Market Analysis by Application
Chapter 8 Manufacturing Cost Analysis
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
Chapter 11 Market Effect Factors Analysis
Chapter 12 Global Automotive Artificial Intelligence Market Forecast